A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

10.1016/j.energy.2015.01.066

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Bibliographic Details
Main Authors: Dong, Zibo, Yang, Dazhi, Reindl Thomas Guenter, Walsh, Wilfred Michael
Other Authors: SOLAR ENERGY RESEARCH INST OF S'PORE
Format: Article
Published: Elsevier 2016
Online Access:http://scholarbank.nus.edu.sg/handle/10635/128038
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Institution: National University of Singapore
id sg-nus-scholar.10635-128038
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spelling sg-nus-scholar.10635-1280382024-11-13T17:16:48Z A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance Dong, Zibo Yang, Dazhi Reindl Thomas Guenter Walsh, Wilfred Michael SOLAR ENERGY RESEARCH INST OF S'PORE 10.1016/j.energy.2015.01.066 Energy 82 570-577 2016-09-20T05:45:09Z 2016-09-20T05:45:09Z 2015 Article Dong, Zibo, Yang, Dazhi, Reindl Thomas Guenter, Walsh, Wilfred Michael (2015). A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance. Energy 82 : 570-577. ScholarBank@NUS Repository. https://doi.org/10.1016/j.energy.2015.01.066 03605442 http://scholarbank.nus.edu.sg/handle/10635/128038 000351788700051 Elsevier
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1016/j.energy.2015.01.066
author2 SOLAR ENERGY RESEARCH INST OF S'PORE
author_facet SOLAR ENERGY RESEARCH INST OF S'PORE
Dong, Zibo
Yang, Dazhi
Reindl Thomas Guenter
Walsh, Wilfred Michael
format Article
author Dong, Zibo
Yang, Dazhi
Reindl Thomas Guenter
Walsh, Wilfred Michael
spellingShingle Dong, Zibo
Yang, Dazhi
Reindl Thomas Guenter
Walsh, Wilfred Michael
A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
author_sort Dong, Zibo
title A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
title_short A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
title_full A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
title_fullStr A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
title_full_unstemmed A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
title_sort novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
publisher Elsevier
publishDate 2016
url http://scholarbank.nus.edu.sg/handle/10635/128038
_version_ 1821190046600921088

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